Cracking the rules of gene regulation with experimental elegance and AI

Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...
Scientific Research Publishing

Pseudorandomness in Central Force Optimization ()

This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are stochastic in ...
The New York Times

Harris’s Memoir Is Another Example of the Democrats’ Problem

Three Opinion writers break down the former vice president’s book of excuses. By Michelle Cottle Carlos Lozada and Lydia Polgreen Produced by Vishakha Darbha Three Opinion writers weigh in on Kamala ...
IEEE

Hierarchical Genetic Algorithm for the Multi-Solution Traveling Salesman Problem

Abstract: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
Phys.org

Crystallography-informed AI achieves high performance in predicting novel crystal structures

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...